Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern Mexico
Groundwater metal pollution is a major concern in mining areas. This study proposes a new addition to the DRASTIC method (DRASTIC+Lu) to assess groundwater vulnerability to metal pollution in mining areas by combining remote sensing (to locate metal pollution sources) and the DRASTIC index. The stu...
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Universidad Nacional Autónoma de México
2022-12-01
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| Series: | Revista Mexicana de Ciencias Geológicas |
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| Online Access: | https://rmcg.unam.mx/index.php/rmcg/article/view/1683 |
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| author | Denisse Archundia Víctor Vidaña-Guillen Juan Valenzuela-Munguia Francisco Molina-Freaner |
| author_facet | Denisse Archundia Víctor Vidaña-Guillen Juan Valenzuela-Munguia Francisco Molina-Freaner |
| author_sort | Denisse Archundia |
| collection | DOAJ |
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Groundwater metal pollution is a major concern in mining areas. This study proposes a new addition to the DRASTIC method (DRASTIC+Lu) to assess groundwater vulnerability to metal pollution in mining areas by combining remote sensing (to locate metal pollution sources) and the DRASTIC index. The study was performed in a mining area in northwestern Mexico showing current and historical mining activities. The proposed methodology allowed locating known and unknown sources of metal pollution (mining tailings, active/inactive mines, and areas with exposed natural geochemical anomalies). Generally, the addition of the land use (Lu) parameter causes not only a decrease in vulnerability but also highlights very high vulnerable areas and identifies new ones in the vicinity of metal pollution sources. This result is relevant to focus stewardship efforts in very high vulnerable areas. Results allowed to identify the need to implement protection and restauration measures in the Sonora river channel and its vicinity. The proposed method could be implemented in other mining areas around the world –at a low cost– to locate unknown metal pollution sources and clearly identify very high vulnerable areas that play a key role in the protection of groundwater resources.
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| format | Article |
| id | doaj-art-97bae942282341fe9be0bc4a1e26623a |
| institution | OA Journals |
| issn | 1026-8774 2007-2902 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Universidad Nacional Autónoma de México |
| record_format | Article |
| series | Revista Mexicana de Ciencias Geológicas |
| spelling | doaj-art-97bae942282341fe9be0bc4a1e26623a2025-08-20T02:22:54ZengUniversidad Nacional Autónoma de MéxicoRevista Mexicana de Ciencias Geológicas1026-87742007-29022022-12-0139310.22201/cgeo.20072902e.2022.3.1683Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern MexicoDenisse Archundia0Víctor Vidaña-Guillen1Juan Valenzuela-Munguia2Francisco Molina-Freaner3Consejo Nacional de Ciencia y Tecnología (CONACyT), Mexico City, Mexico. Estación Regional del Noroeste, Instituto de Geología, Universidad Nacional Autónoma de México, Colosio y Madrid s/n, Hermosillo, Sonora, Mexico.Instituto de Geología, Universidad Nacional Autónoma de México, Coyoacán, Mexico City, 04510, Mexico.Estación Regional del Noroeste, Instituto de Geología, Universidad Nacional Autónoma de México, Colosio y Madrid s/n, Hermosillo, Sonora, Mexico.Instituto de Ecología, Universidad Nacional Autónoma de México, Hermosillo, Sonora C.P. 83250, Mexico. Groundwater metal pollution is a major concern in mining areas. This study proposes a new addition to the DRASTIC method (DRASTIC+Lu) to assess groundwater vulnerability to metal pollution in mining areas by combining remote sensing (to locate metal pollution sources) and the DRASTIC index. The study was performed in a mining area in northwestern Mexico showing current and historical mining activities. The proposed methodology allowed locating known and unknown sources of metal pollution (mining tailings, active/inactive mines, and areas with exposed natural geochemical anomalies). Generally, the addition of the land use (Lu) parameter causes not only a decrease in vulnerability but also highlights very high vulnerable areas and identifies new ones in the vicinity of metal pollution sources. This result is relevant to focus stewardship efforts in very high vulnerable areas. Results allowed to identify the need to implement protection and restauration measures in the Sonora river channel and its vicinity. The proposed method could be implemented in other mining areas around the world –at a low cost– to locate unknown metal pollution sources and clearly identify very high vulnerable areas that play a key role in the protection of groundwater resources. https://rmcg.unam.mx/index.php/rmcg/article/view/1683metal contaminationaquiferpollution sourcesimageryvulnerability index |
| spellingShingle | Denisse Archundia Víctor Vidaña-Guillen Juan Valenzuela-Munguia Francisco Molina-Freaner Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern Mexico Revista Mexicana de Ciencias Geológicas metal contamination aquifer pollution sources imagery vulnerability index |
| title | Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern Mexico |
| title_full | Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern Mexico |
| title_fullStr | Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern Mexico |
| title_full_unstemmed | Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern Mexico |
| title_short | Incorporating remote sensing techniques to the DRASTIC index to assess groundwater vulnerability at mining areas: application to Sonora river aquifer, northwestern Mexico |
| title_sort | incorporating remote sensing techniques to the drastic index to assess groundwater vulnerability at mining areas application to sonora river aquifer northwestern mexico |
| topic | metal contamination aquifer pollution sources imagery vulnerability index |
| url | https://rmcg.unam.mx/index.php/rmcg/article/view/1683 |
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